Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Zhuangyi Jiang"'
Autor:
Zhenshan Bing, Christian Lemke, Fabric O. Morin, Zhuangyi Jiang, Long Cheng, Kai Huang, Alois Knoll
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
Visual-guided locomotion for snake-like robots is a challenging task, since it involves not only the complex body undulation with many joints, but also a joint pipeline that connects the vision and the locomotion. Meanwhile, it is usually difficult t
Externí odkaz:
https://doaj.org/article/d698e9ab51a44e0d9377033df0238b61
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Spiking neural networks (SNNs) offer many advantages over traditional artificial neural networks (ANNs) such as biological plausibility, fast information processing, and energy efficiency. Although SNNs have been used to solve a variety of control ta
Externí odkaz:
https://doaj.org/article/bfeeb126a24d46a484a7fb0c4ce4dc04
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Vision based-target tracking ability is crucial to bio-inspired snake robots for exploring unknown environments. However, it is difficult for the traditional vision modules of snake robots to overcome the image blur resulting from periodic swings. A
Externí odkaz:
https://doaj.org/article/aef880738a7a42ab8f9dbf3cd11416f4
Autor:
Guang Chen, Zhuangyi Jiang, Alois Knoll, Long Cheng, Jörg Conradt, Florian Röhrbein, Zhenshan Bing, Kai Huang
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 11:1-12
Neurorobotic mimics the structural and functional principles of living creature systems. Modeling a single system by robotic hardware and software has existed for decades. However, an integrated toolset studying the interaction of all systems has not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::540fa59a69c921fb50fcedebba31f577
https://doi.org/10.1109/tcds.2017.2712712
https://doi.org/10.1109/tcds.2017.2712712
Publikováno v:
IROS
The snake-like robot without wheels is a bio-inspired robot whose high degree of freedom results in a challenge in autonomous locomotion control. The use of a Spiking Neural Network (SNN) which is a biologically plausible artificial neural network ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2998688e51cc225d4c75b3ff3b9ca078
https://doi.org/10.1109/iros45743.2020.9341520
https://doi.org/10.1109/iros45743.2020.9341520
Publikováno v:
IJCAI
Similar to their counterparts in nature, the flexible bodies of snake-like robots enhance their movement capability and adaptability in diverse environments. However, this flexibility corresponds to a complex control task involving highly redundant d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9d9660a2e397870e525cb3b73da58b5
https://doi.org/10.24963/ijcai.2019/785
https://doi.org/10.24963/ijcai.2019/785
Publikováno v:
ICRA
This paper introduces an end-to-end learning approach based on Reward-modulated Spike-Timing-Dependent Plasticity (R-STDP) for a multi-layered spiking neural network (SNN). As a case study, a snake-like robot is used as an agent to perform target tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11ae5df3d89fa24c280a57b595ff813e
https://doi.org/10.1109/icra.2019.8793774
https://doi.org/10.1109/icra.2019.8793774
Autor:
Walter Stechele, Zhuangyi Jiang, Alois Knoll, Guang Chen, Kai Huang, Pengfei Xia, Zhenshan Bing
Publikováno v:
ICRA
Pedestrian detection has attracted enormous research attention in the field of Intelligent Transportation System (ITS) due to that pedestrians are the most vulnerable traffic participants. So far, almost all pedestrian detection solutions are based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9615afc9762646bcc334a7c7cb304f5
https://mediatum.ub.tum.de/1482163
https://mediatum.ub.tum.de/1482163
